Data Analytics (5 cr)
Code: RDI2HM102-3034
Basic information of implementation
- Timing
- 26.01.2026 - 15.05.2026
- The implementation has not yet started.
- ECTS Credits
- 5 cr
- Campus
- Pasila Campus
- Teaching languages
- English
- Seats
- 31 - 50
- Degree programmes
- AIBUM Degree Programme in AI for Business Transformation
- Teachers
- Toni Ernvall
- Juha Nurmonen
- Groups
-
MAAIBUMEMasters, AI for Business Transformation, 1. year
-
CONTACTContact implementation
- Course
- RDI2HM102
Evaluation scale
H-5
Implementation methods, demonstration and Work&Study
Depending on the implementation, learning takes place in contact lessons, as independent studies, teamwork and online-studies. Implementations can include literature, assignments, R&D co-operation and company projects. The course includes the assessment of one’s own learning.
Recognition of prior learning (RPL)
If students have acquired the required competence in previous work tasks, recreational activities or on another course, they can show their competence via a demonstration. The demonstration must be agreed with the course teacher. More information and instructions for recognising and validating prior learning (RPL) are available at https://www.haaga-helia.fi/en/recognition-learning Look at "Instructions to students (master)"
Intro
In modern organizations, information is a crucial tool for management. Data analytics is a means of refining information for business needs. The objective of this course is to understand the process and methods of data analytics and to be able to apply them through practical examples. This course does not require prior programming skills.